Kreijstal Kreijstal

V8

V8 is Google’s open source high-performance JavaScript and WebAssembly engine, written in C++. It is used in Chrome and in Node.js, among others. It implements ECMAScript and WebAssembly, and runs on Windows 7 or later, macOS 10.12+, and Linux systems that use x64, IA-32, ARM, or MIPS processors. V8 can run standalone, or can be embedded into any C++ application.

SpiderMonkey

SpiderMonkey is Mozilla’s JavaScript and WebAssembly Engine, used in Firefox, Servo and various other projects. It is written in C++, Rust and JavaScript. You can embed it into C++ and Rust projects, and it can be run as a stand-alone shell. It can also be [compiled](https://bytecodealliance.org/articles/making-javascript-run-fast-on

Установка под Linux

При установке под линукс (проверено на Ubuntu 16):

Устанавливаем wine
Из папки crack копируем файл MentorKG.exe в <install_dir>/linux (или /linux_x86_64)
Выполняем

sudo chown root:root ~/.wine

Here are a list of headless browsers that I know about:

[HtmlUnit][1] - Java. Custom browser engine. JavaScript support/DOM emulated. Open source.
[Ghost][2] - Python only. WebKit-based. Full JavaScript support. Open source.
[Twill][3] - Python/command line. Custom browser engine. No JavaScript. Open source.
[PhantomJS][4] - Command line/all platforms. WebKit-based. Full JavaScript support. Open source.
[Awesomium][5] - C++/.Net/all platforms. Chromium-based. Full JavaScript support. Commercial/free.
[SimpleBrowser][6] - .Net 4/C#. Custom browser engine. No JavaScript support. Open source.
[ZombieJS][7] - Node.js. Custom browser engine. JavaScript support/emulated DOM. Open source.
[EnvJS][8] - JavaScript via Java/Rhino. Custom browser engine. JavaScript support/emulated DOM. Open source.

	#!/usr/bin/env node
	/*
	Gets the file under $OLLAMA_HOME/models/blobs/ for the application/vnd.ollama.image.model key in the manifest
	- Note that metadata of modelId:modelTag is stored under $OLLAMA_HOME/models/manifests/registry.ollama.ai/library/${modelId}/${modelTag}
	- You'll need to get the Jinja template from the original model using llama.cpp's scripts/get_chat_template.py script

	ollama pull qwen2.5-coder:7b
	llama-server -m $( ./get_ollama_gguf.js qwen2.5-coder:7b ) -fa --jinja --chat-template-file <( ./scripts/get_chat_template.py Qwen/Qwen2.5-Coder-7B-Instruct-GGUF tool_use )

	Initially shared here: https://github.com/ggml-org/llama.cpp/pull/9639#issuecomment-2704208342

	#!/bin/bash
	#
	# Configure sshd on MinGW for Windows

	# Create host keys
	ssh-keygen -f /etc/ssh/ssh_host_rsa_key -N '' -t rsa
	ssh-keygen -f /etc/ssh/ssh_host_dsa_key -N '' -t dsa
	ssh-keygen -f /etc/ssh/ssh_host_ecdsa_key -N '' -t ecdsa
	ssh-keygen -f /etc/ssh/ssh_host_ed25519_key -N '' -t ed25519

	import termios
	import fcntl
	import os
	import struct

	with open(os.ctermid(), 'r') as fd:
	packed = fcntl.ioctl(fd, termios.TIOCGWINSZ, struct.pack('HHHH', 0, 0, 0, 0))
	rows, cols, h_pixels, v_pixels = struct.unpack('HHHH', packed)
	print rows, cols, h_pixels, v_pixels

	import scipy.io
	import pandas as pd

	mat = scipy.io.loadmat('file.mat')
	mat = {k:v for k, v in mat.items() if k[0] != '_'}
	data = pd.DataFrame({k: pd.Series(v[0]) for k, v in mat.iteritems()})
	data.to_csv("example.csv")

	#!/bin/bash

	ALTERA_PATH=~/altera/13.1/

	sudo dpkg --add-architecture i386
	sudo apt-get update
	sudo apt-get install gcc-multilib g++-multilib \
	lib32z1 lib32stdc++6 lib32gcc1 \
	expat:i386 fontconfig:i386 libfreetype6:i386 libexpat1:i386 libc6:i386 libgtk-3-0:i386 \
	libcanberra0:i386 libpng12-0:i386 libice6:i386 libsm6:i386 libncurses5:i386 zlib1g:i386 \

	{
	"targets": [
	{
	"target_name": "hello",
	"sources": [ "hello.cc" ]
	}
	]
	}

	sudo apt-get update
	sudo apt-get install default-jre
	sudo apt-get install default-jdk